Various image segmentation methods are widely used for finding diseases and illness. Detection of any kind of brain tumors from magnetic resonance imaging (MRI) is very important for radiologists and image processing researchers. This paper described a segmentation method based on region based active contour model using level set approach to be useful for region of interest (ROI) based image compression system. The brain tumors (ROI) may be anywhere in MR brain images. The aim of this paper is to segment an image into non-intersecting regions, region of interest and other than region of interest and background for region based medical image compression system. In this system, the initial mask is firstly created. The initial curve can be anywhere in the images and interior contours are automatically detected. This method performs two main steps, curve evolution and segmenting process. Curve evolution is done by using level set method and active contour model segments the region. The proposed method is applied on the different weighted MR brain images and this method is found to be very convenient for segmenting the region around ROI is wanted.

[3] B.S Saini and G.Sethi, “Comparative Analysis of Edge Based and Region Based Active Contour Using Level Set and its Application on CT Images,” International Journal of Research in Engineering and Technology (IJRET), ISSN: 2319-1163, Volume: 02, Issue: 04, Apr-2013.